Effects and Modeling of GaN PA Distortion in TDD Mode Using 5G NR Signal
Aikio, Janne P.; Toivanen, Jon Johan; Kolmonen, Tapio; Brihuega, Alberto; Pärssinen, Aarno; Rahkonen, Timo (2023-11-22)
IEEE
22.11.2023
J. P. Aikio, J. -J. Toivanen, T. Kolmonen, A. Brihuega, A. Pärssinen and T. Rahkonen, "Effects and Modeling of GaN PA Distortion in TDD Mode Using 5G NR Signal," 2023 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMIC), Aveiro, Portugal, 2023, pp. 1-3, doi: 10.1109/INMMIC57329.2023.10321777
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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312213987
https://urn.fi/URN:NBN:fi:oulu-202312213987
Tiivistelmä
Abstract
This paper discusses the modeling of self-heating effects in a GaN PA driven by time division duplexing (TDD) using 100 MHz 3GPP new radio signal. The time invariant Generalized Memory Polynomial (GMP) with ∼200 coefficients was not enough for catching thermal memory up to 400 µs. Hence, GMP was combined with exponentially drifting complex gain, implemented with 1st order IIR filters, resulting in just 0.2 dB reduction in NMSE compared to full time-varying GMP.
This paper discusses the modeling of self-heating effects in a GaN PA driven by time division duplexing (TDD) using 100 MHz 3GPP new radio signal. The time invariant Generalized Memory Polynomial (GMP) with ∼200 coefficients was not enough for catching thermal memory up to 400 µs. Hence, GMP was combined with exponentially drifting complex gain, implemented with 1st order IIR filters, resulting in just 0.2 dB reduction in NMSE compared to full time-varying GMP.
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